{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "tips = sns.load_dataset('tips')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   total_bill   tip     sex smoker  day    time  size\n",
       "0       16.99  1.01  Female     No  Sun  Dinner     2\n",
       "1       10.34  1.66    Male     No  Sun  Dinner     3\n",
       "2       21.01  3.50    Male     No  Sun  Dinner     3\n",
       "3       23.68  3.31    Male     No  Sun  Dinner     2\n",
       "4       24.59  3.61  Female     No  Sun  Dinner     4"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tips.tip.plot(kind='hist')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "cts = tips.smoker.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5a98bfb9e8>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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wrXo/ZvCc0WHAC/FJ2Ikx9Ae5qvIJdT3rJNkCfJDBr+XYVFU/mPBIq5qXbiSNXJJ/A97mtflnB0MvSY3zv/2S1DhDL0mNM/SS1DhDL0mNM/SS1DhDL0mN+18npVMFC0wVGwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cts.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5a98bec9e8>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x = 'smoker', data = tips)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5a98ad0978>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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3gE/S2x1xUBd3P/p7DL2fEvvhUgcgjYIzdC07VfVSkh92XxX8B+BHwGP0Zs7XVtV/JnkJ2J/kMXo/4v3XwB1JrqS3V/d/LeAlfwD8LfBeetujutyiw5Lb50pSI1xykaRGuOQiAUl+C7jhoOZ/q6rfHUc90mK45CJJjXDJRZIaYaBLUiMMdElqhIEuSY0w0CWpEf8LHtWqGe6VC0QAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(tips.total_bill, kde=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['total_bill', 'tip', 'sex', 'smoker', 'day', 'time', 'size'], dtype='object')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f5a9736a5c0>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792.625x1440 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x='total_bill', y='tip', data=tips, hue='sex', fit_reg=False,\n",
    "           col='smoker', row='day')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f5a957e12e8>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "facet = sns.FacetGrid(tips, col='time', row='smoker', hue='sex')\n",
    "facet.map(plt.scatter, 'total_bill', 'tip')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "2\n"
     ]
    }
   ],
   "source": [
    "a, b = [1, 2]\n",
    "print(a)\n",
    "print(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f5a95254cf8>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax) = plt.subplots(1, 1)\n",
    "ax.scatter(tips.tip, tips.total_bill)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 7., 42., 68., 51., 31., 19., 12.,  7.,  3.,  4.]),\n",
       " array([ 3.07 ,  7.844, 12.618, 17.392, 22.166, 26.94 , 31.714, 36.488,\n",
       "        41.262, 46.036, 50.81 ]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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fsXTkKT5034/40ujLDb6C1tGCJJHultuAXsoXHy+bUb936vSM+1RLU4QFe4Dj775XM+f8pdGXefT5gzM2qXj0+YOxg3o9vV/qod2MRLpbblMucTeKiEpTDA8OsPuNt3n0+YMzjp+YOs2GbdW7Nj72wpuRxzcOL6867nZ2UtRuRiLdLfMBPaoMrxX54qia86lp5/NPvMg9W/eGBsXSzLxS1PFyrdixqBrtZiTSvTId0KvNZluxdVy14F8KzmEz6B6z0ODdE6NERhcuRaRdMp1DrzabbUW+OG7wryz9u+3qi0PvF3U8zjkd1HBLRJqS6YBebTYbpy67lqieKrXGsnF4Oas/tHDGz1d/aGHN/HnpnGEXY0ELgUSkOZlOudRKqzSbLw7rqTLHIKRV+YyZ9eh4gT0H35nx8z0H3+FLoy+z69VjVS9Ill+4DHttrcyni0h3yXRAj7P/ZrMqPxQq8/Zh54xKBZVXzJTn3kuPKQX6a6+o3j9b+XQRaUSmA3oaZXhR54Rijvtw0CcljtJeoX+cOj3jwm5lqWQlLQQSkUZkOqBDOmV4cWbtcZUvfIoj6i8QdVEUkVoyH9CraWeQKz13WJ67XQYiXkM7FyOJSOfIdJVLNWGtYu/ZurclPVXKn7sWI7r+3Cj2l4ljoL+P50bWhAZodVEUkThyO0OP2nHoO88fZOjShVV3LCo9PmpmH/bcYUpBOCwlY8Dt11zC0KULa6Zral3o1WIkEYkjtwE9avbsUHXHog3ffRGsuLy/dKwyfREnUJYH4TgXbyurXGqVN5ZrxapYEel8uQ3oUcvvofqORVMhRebl6YvNO/fHqmKpXMRU7eJtsxd2kyjfFJH8y21Ar9YIq9aORWFKM/W4lSxJXIwsTxf1z+/lnLlzeGdySlUuIhIqtwF9ICINYVBzx6IwPWaxg/lAf1/bywgr00XHT0zR19vDVz+zsup5VN4o0r1yG9DD0hBwNocedZ/eOTYjh14Sp/UtFFMd116xqO1lhI202VV5Y33M7FzgZ8A5FH8Xtrn7/WZ2GfA4sBDYA3zO3U+mN9LsWjryVEOPO7BpXYtHIpDjssXhwQFuXjUQWjJYHsgqG3htvnUFm29ZwYL58coJ4WxZYqkB2K5Xj7W9jLCRyhaVN9btPWCNu68AVgIfN7NrgK8AX3X3y4HjwJ0pjlEkttzO0EfHC2wfK0TOrEuBrFptd9xVnNPu9M6xM+mLe7buDb1fK8sIG6lsUXljfdzdgT8EN3uD/xxYA/x1cPwR4AHg60mPT6ReuZ2hx6kVjwpko+OFuleATp12HtixD2h+M+Y4e4o20u9dm0TXz8x6zGwvcBR4Gvg1MOHup4K7HAJmzQjMbL2Z7Taz3ceOhe98JZK03Ab0OLPOsEBWyjM3otRit5nNNcJWuIb1QG+k37s2ia6fu0+7+0pgCXAV8OGwu4U8bou7D7n70KJF1btniiQltymXWhUsUYEs7irQWs6ZO+fM8yyY38v9n7wSONuRMarCpJ6LnfXWr2uT6Ma5+4SZ/RS4Bug3s7nBLH0JcDjVwYnElNuAHlbBYhSnUlFNrqD6zH7B/F4mTkxhEZtcLJjfG7rM/49Tp9n9xttsHyvUrDBpd55bm0THZ2aLgKkgmPcBH6V4QXQXcAvFSpc7gO+nN0qR+HIb0BudjUbN7HvMuP+TVzI8OMCXRl8O7Vm+7t8tjpxhP/bCm7Mu0IbNvLWMP1MWA4+YWQ/F9OMT7v5DM/sl8LiZbQTGgYfTHKRIXLkN6NDYbDSqfn3avdjnBdj1avhFrlL/lTC12hBUO7/y3Olw95eAwZDjr1PMp4vkSq4DeqXKpfLuzFoqX/oAuOeJvVTG4KnTzheffIkTU6dDn78wMRm5QjVK5cx7eHCA3W+8fWZG32PGzauUJhGR5uW2yqVSZfXI8RNTTExOhVaSDA8OzArmJVHBvCSskiRK2My7sn5+2p3tY4XQ0kURkXrUnKGb2cXAt4F/A5wGtrj718xsIbAVWAocAD7t7sfbN9RwcXcWKu3v+cCOfWfKDxtRmmFX2xfUoCVVLiIi9YiTcjkFfN7d95jZ+cCYmT0N/EfgGXffZGYjwAhwb/uGOlu9e33Wu79npVILgKgce+k+v37wE5E/12pOEWmXmikXdz/i7nuC738PvEJx5dxNFJdFE3wdbtcgozywY19Lasrjuu3qi4HqwXfavWr6RKs5RaRd6sqhm9lSilUBLwAXuvsRKAZ94IJWD66a0fFCU6mTeq3+0EI2Di8HagffsJWfJVrNKSLtEjugm9mfANuBu939X+t4XFt6XtTqILhgfi/9fb1nls3H3aw5yp6D75wJ0hvWLqO3J3xjaKje4bCRJf0iInHEKls0s16Kwfw77v5kcPgtM1vs7kfMbDHF5kazuPsWYAvA0NBQvKbjZaI2bKiW9ngoZBOI0fECG777YugWdHGUX7gsPfeXf7AvMi9fbXxazSki7RCnysUorpR7xd3/oexHOygui95EG5ZHj44XZgXM8uX0USsuz5vXw+ad+7ln697Q+vNmqlwqg/T8eXMjA7py4iKStDgpl9XA54A1ZrY3+O8TFAP59Wb2GnB9cLslStUrYcGyNFMOy0X39hgnT52O7GQ4PDjA3vs/xoFN65jfG/3So5IppSBdXvMeRjlxEUlDzRm6u/8/omPcda0dTlGtjoiHJyZDe7m8+96pWbPvyalp7t6698yHQOlxFrLTUcn8eT1MnpymconRkXcma265Va0xmIhIO2Vy6X+tmuzSTLkyF31ZlWBb2f3w3ZPRHxhRP4uTfn9uZE3tO4mItEEmA3q1Xue9c4wTJ09x2chTs/q1/Glfb9X8eBIrMkfHC5qdi0gqMtnLJapfSl/vHLDiis+wfi3vnjzFnOhMCgT3a2ffFG3ILCJpyWRAD6vVfugzK1l43jlMTUfnPaamffZeYSHujtjkuRW0hF9E0pJ6yiWqzjysVvueGIE4qotiUlSuKCJpSXWGHnfD5JI4wbKnSvVKq/SYceH582YdV7miiKQp1YBerZVsmFq9yHt7jNuuvjh2v/JGHNi0jv/16RW8/e7si6/aqEJE0pRqyqXeVrLltedhVTCl/Pq5vXPa1oWxVBoZltl5cuzQmW3q4u5xKiLSKqnO0BtpJTs8OMBzI2siV3o++vzBpvueV+OEB3Mo7nYUN30kItJqqQb0ZlrJ1toqrpZ5Vboltkq19JGISKulGtDjtJIdHS+wetOzXDbyFKs3PduSGe+BTetYdP65TT9PHCpjzC4zu9jMdpnZK2a2z8zuCo4vNLOnzey14OuCtMcqEkfqZYvVWslWbjFXmJjk7q17+eKTLzV8vtLCo1p7kJYzotMstaiMMdMyu72iSCMyubCoJKpJVzPplr+++pLY9y391XD7NZfM7uw4x1gw/+wGGn8Tch+VMWZblrdXFGlE6jP0alqZruixYkljaRu5WhbM72X87z925vbQpQtDF0CVi3MfyaZq2yuaWaLbK4o0KtMBvVqTrjh65xibb13RUFD9wx9PzWi0FWeXIe1ElE+V2ytWa61c9pj1wHqASy6J/1efSDtlOuWyYe2yyEbscXzmqosbDrBTp71qhUo7LtZK8qptrxj8PHR7RXff4u5D7j60aNGi5AYsUkWmZ+jDgwPsfuNtHn3+YEOP3z52iMdeeJNp97pTLhCd8gm7WFvea13yIa3tFUXaJdMBHWDj8HKGLl04Yy/QBfN7Yy0emiy7eDrtfuaDYePwcvpr9E6H6AqVai0LFNBzpbS94stmVur89kWKgfwJM7sTOAjcmtL4Olatnb/CHNi0rg0j6SyZD+gQnptu5A0B8NgLb7JxeDk3rFhcdeZfrUKl3pYFkk1pbK8o0k65COij4wW+/IN9Z2bl/X29DT/XtDuj4wV2vXos8j49Zty8aoDNO/dzz9a9sypWoi7WquZcRNKU6YuiUAzmG7a9OCPFUitVMtDfV3Xnoru37q1aPTPtzvaxQmRflmZaFoiItEtmAnpU1cjmnfur7lIU5rmRNXzkgwsbHkuPWdW2vnFaFoiIJC31lEtlOgVmVo00kpe+bOQp5jS40UXvHGPqdPgHSPlYVHMuIlmTiR2LwipWSjPi/vn158udYtqkXv19vWy+dQUDDbT1FRFJW6oz9KheLSWFiUl6qyXDW2Cgv4/nRtbMOl5eZw7KkYtI9mVyx6KSHotOf7RC7xwLDdLlOyOpL4uI5EWqAb1ar5a+3p62bSMHxfTKAzdeGRmklSMXkbxJNaBvWLtsVmoDzgbbzz/xYkO58GoM+E2NFWej4wXNzkUkd1IN6LVSG3dv3Vvt4Q25/ZrqnfHUp0VE8ir1ssVqqQ0zaOUEfY4Ve5ZXoz4tIpJXmVlYFKbF2RZOOzU3bVafFhHJq9Rn6JVK+etmNraoplZgVp8WEcmrTM3QS/nrZoN51MIggDlmVTejUJ8WEcmrmgHdzL5pZkfN7Bdlxxaa2dNm9lrwdUErBlNroVFcz42s4aHPrJwVmKG4grS80VYl9WkRkbyKk3L5FvC/gW+XHRsBnnH3TWY2Ety+t9nBtDLNUgrAYaWPtS5yqgZdRPKo5gzd3X8GvF1x+CbgkeD7R4DhVgymp8GGWlGGBwc4HXFltdmLnNpTVESyptEc+oXufgQg+HpB1B3NbL2Z7Taz3ceORW8qAY011Kol6mJmMxc5y3P9Yf3SRUTS0PaLovXsjl7tYmZc582bmTdvx0XOarXqIiJpabRs8S0zW+zuR8xsMXC0FYPZsHZZU6tD5xj89/+wfMaxdjTaUq26SPIa3Ue4mzaXbjSg7wDuoLg7+h3A91sxmOHBAe578iUmp0439PioHHyrL3KqVl1EsihO2eJjwD8Dy8zskJndSTGQX29mrwHXB7ebNjpe4FSNdrnnzI0e8tRpTyTtoVp1EcmimjN0d78t4kfXtXgssfYPPXnqNAvm94bucgTJpD3UL70zmNk3gRuAo+7+58GxhcBWYClwAPi0ux9Pa4wi9cjU0v84wdghMphDcmkP1ap3hG+R0BoLkSRkaul/K4Kx0h4SV5JrLESSkKmAHpabDtPf10tvz+wLoG3eflS6Q6w1FvWsrxBJSuoBvXzF5ead+7l51UDNevQHbryS8+bNzhbFaY+bNVpxmk/1rK8QSUqqAT1sxeX2sULNtMnw4ADvTKZ3UbRVtOI0k94K1lbQyjUWIklINaBXW3EZVVNeOt6OJf1J04rTTCqtsYAWrrEQSUKqAb3aisvbrr449Gel451QC64Vp+lKco2FSBJSLVustuJy43BxCf9jL7zJtDs9Ztx29cVnjndCLbhWnKYryTUWIklINaBvWLuM+558eUbaoXyWvXF4+ZkAHibvteC1Xr+ISD1STbkMDw5w86qBM3nxHjNuXpXvIF0P7Y4kIq2U6gx9dLzA9rHCmT7o0+5sHyswdOnCrglqef8rQ0SyI9WAXq3KQ0FOOkGjLV+ldbqp7W5mq1xERKQ+qQb0TqglFxHJilQDeifUkouIZEWqOfROqCUXEcmK1Puhq8pDRKQ1Uu+2KCIiraGALiLSIRTQRUQ6ROo59NHxgi6Kioi0QOpL/8ubU5U2eAAU1EUkl9JcmZrZDS5ERKQ+WvovItIhMrvBhYhImvLYWE1L/0VEOoSW/ouIdIjUyxa19F9EpDW0sEhEpEMooIuEMLOPm9l+M/uVmY2kPR6ROBTQRSqYWQ/wf4C/Av4MuM3M/izdUYnUpoAuMttVwK/c/XV3Pwk8DtyU8phEalJAF5ltAHiz7Pah4JhIpiVa5TI2NvZbM3ujDU/9AeC3bXhenTtb56117ktbdA4LOeYz7mC2Hlgf3PyDmXVyv4o0/38nKdXXaV+p+uNY7+1EA7q7L2rH85rZbncfasdz69zZOW+C5z4EXFx2ewlwuPwO7r4F2NLmcWRCmv+/k9QJr1MpF5HZfg5cbmaXmdk84LPAjpTHJFJT6guLRLLG3U+Z2X8FdgI9wDfdfV/KwxKpqVMCepp/+nbjuTv+Nbv7j4AfJXGuHOiK1BId8DrN3WvfS0REMk85dBGRDpHrgG5mF5vZLjN7xcz2mdldCZ+/x8zGzeyHCZ+338y2mdmrwWv/SILnvif4t/6FmT1mZue28Vwpr9HyAAAC2UlEQVTfNLOjZvaLsmMLzexpM3st+LqgXefvRlG/U5367175OxxcCH8heJ1bg4viuZHrgA6cAj7v7h8GrgH+S8JLtO8CXknwfCVfA37s7lcAK5Iag5kNAP8NGHL3P6d4wfCzbTzlt4CPVxwbAZ5x98uBZ4Lb0jpRv1Od+u9e+Tv8FeCrwes8DtyZyqgalOuA7u5H3H1P8P3vKf6PSWRFn5ktAdYB30jifGXnfR/wl8DDAO5+0t0nEhzCXKDPzOYC86moz24ld/8Z8HbF4ZuAR4LvHwGG23X+blTld6rj/t0rf4fNzIA1wLbgLrl7nbkO6OXMbCkwCLyQ0CkfAr4AnE7ofCUfBI4B/xj8qfgNMzsviRO7ewH4n8BB4Ajwjrv/JIlzl7nQ3Y8E4zkCXJDw+btGxe9UJ/67V/4Ovx+YcPdTwe3ctXzoiIBuZn8CbAfudvd/TeB8NwBH3X2s3ecKMRf4C+Dr7j4IvEtCf/4GedObgMuAi4DzzOxvkji3JCvp36mkRfwO12z5kHW5D+hm1kvxjfcdd38yodOuBm40swMUO/GtMbNHEzr3IeCQu5f+EtlGMcAn4aPAb9z9mLtPAU8C/z6hc5e8ZWaLAYKvRxM+f8eL+J3qtH/3Wb/DFGfs/UE6EUJaPmRdrgN6kPN6GHjF3f8hqfO6+33uvsTdl1K8KPisuycyU3X3fwHeNLPSTtrXAb9M4twUUy3XmNn84N/+OpK/KLwDuCP4/g7g+wmfv6NV+Z3qqH/3iN/h24FdwC3B3XL3OnMd0Cl+yn6O4gx5b/DfJ9IeVAL+FviOmb0ErAT+RxInDf4q2AbsAV6m+P5p2+o6M3sM+GdgmZkdMrM7gU3A9Wb2GnB9cFtaJ+p3qlv+3e8F/s7MfkUxp/5wyuOpi1aKioh0iLzP0EVEJKCALiLSIRTQRUQ6hAK6iEiHUEAXEekQCugiIh1CAV1EpEMooIuIdIj/D+Q+ACA2d7fvAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2)\n",
    "ax1.scatter(tips.tip, tips.total_bill)\n",
    "ax2.hist(tips.total_bill)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dis = sns.distplot(tips.tip)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matplotlib.axes._subplots.AxesSubplot"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(dis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5a952b5a90>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2)\n",
    "sns.distplot(tips.tip, ax=ax1)\n",
    "sns.regplot(x='total_bill', y='tip', data=tips, ax=ax2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
